5th and 8th grade pupils’ and teachers’ perceptions of the relationships between teaching methods, classroom ethos, and positive affective attitudes towards learning mathematics in Japan



Table 7.4.5: Mean of frequency of deployment of teaching methods and affective attitude
promoted by teaching methods between pupils perceiving their teachers praising them because
of more effort than others with lower frequency and higher frequency at 5th grade________

Enjoyment          ~1

Motivation ______

Sense Ofsecurity

Sense of progress

Deployment      ___

N____

M___

SD

N____

M

SD

N____

M

SD

N

M___

SD

N____

M__

SD

PW

H

877

3.46

1.27

877

3.41

1.27

872

3.31

1.25

874

3.55

1.26

876

2.50

.92

_L___

592

3.05

1.38

592

3.05

1.40

591

3.00

1.36

590

3.15

1.36

591

2.27

.89

t=5.896, df=1467,
p<.01

t=5.179, df=1467,
p<.01

t=4.531, df=1461,
p<.01

t=5.788, df=1462,
p<.01

t=4.712,
df=1295.389, p<.01

UC

H

875

3.28

1.55

875

3.31

1.47

872

3.05

1.43

870

3.13

1.34

874

1.58

.81

Jz__

591

3.36

1.59

591

3.36

1.52

590

3.14

1.50

589

3.08

1.43

590

1.48

.79

t=.999, df=1464,
p>.05    _____ ____

t=.680, df=1464,
p>05   ___ ____

t=1.113,
df=1222.890, p>.05

t=.707, df=1457,
p>.05       ____

t=2.390,
df=1294.601, p<.05

RT

H

874

2.98

1.16

874

2.94

1.28

870

3.09

1.30

873

3.53

1.27

874

3.45

.94

J-__

591

2.63

1.18

592

2.53

1.24

591

2.76

1.33

590

3.27

1.43

590

3.37

1.01

t=5.598,
df=1256.838, p<.01

t=6.007, df=1464,
p<.01__

t=4.792, df=1459,
p<.01__________________

t=3.588,
df=1165.285, p<.01

t=1.419,
df=1198,617, p>.05

TE

H

876

3.57

1.17

877

3.51

1.22

872

3.52

1.23

875

3.99

1.09

870

3.65

1.02

J-__

592

3.22

1.28

592

3.01

1.28

591

3.14

1.30

591

3.57

1.32

588

3.56

1.09

t=5.412, df=1466,
p<.01

t=7.609, df=1467,
p<.01__

t=5.623, df=1461,
p<.01__________________

t=6.325,
df=1106.149, p<.01

t=1.593,
df=1206.068, p>.05

IW

H

877

2.94

1.31

877

3.12

1.38

873

3.24

1.35

875

3.51

1.29

868

3.51

.98

L___

592

2.89

1.34

592

2.90

1.42

591

3.08

1.44

591

3.38

1.41

590

3.46

1.03

t=.813, df=1467,
p>.05

t=3.062, df=1467,
p<.01

t=2.166, df=1462, p<.05

t=1.756,
df=1194.361, p>.05

t=1.065, df=1456,
p>.05___

IH

~H~

872

2.49

1.21

876

2.69

1.32

872

2.84

1.33

874

3.26

1.35

872

3.02

.98

L

590

2.36

1.27

591

2.49

1.37

591

2.62

1.42

591

3,14

1.44

591

2.57

1.05

t=1.922, df=1460,
p>.05

t=2.751, df=1465,
p<.01

t=3.000,
df=1212.340, p<.01

t=1.634, df=1463,
p>.05__________________

t=8.286,
df=1215,185, p<,01

WD

H

877

3.33

1.16

877

3.32

1.19

873

3.31

1.19

875

3.50

1.20

866

3.42

1.04

Jz__

592

2.92

1.23

592

2.87

1.27

591

2.84

1.30

591

3.08

1.35

585

3.01

1.14

t=6.438, df=1467,
p<.01

t=6.921, df=1467,
p<.01          ______

t=6.915,
df=1185.156, p<.01

t=6.179,
df=1167.956, p<.01

t=6.991, df=1449,
p<.01__________________

GD

H

877

3.28

1.20

877

3.31

1.17

873

3.28

1.16

873

3.42

1.19

868

2.51

.91

Jz__

592

2.90

1.23

592

2.84

1.28

591

2.88

1.29

591

2.95

1.24

586

2.27

.93

t=6.011, df=1467,

p<.01__________________

t=7.160,
df=1185.451, p<.01

t=6.259, df=1462,
p<.01__________________

t=7.288, df=1462,
p<.01__________________

t=4.801, df=1452,
p<.01__________________



More intriguing information

1. Deprivation Analysis in Declining Inner City Residential Areas: A Case Study From Izmir, Turkey.
2. The name is absent
3. THE UNCERTAIN FUTURE OF THE MEXICAN MARKET FOR U.S. COTTON: IMPACT OF THE ELIMINATION OF TEXTILE AND CLOTHING QUOTAS
4. Mortality study of 18 000 patients treated with omeprazole
5. Partner Selection Criteria in Strategic Alliances When to Ally with Weak Partners
6. An Intertemporal Benchmark Model for Turkey’s Current Account
7. The name is absent
8. The urban sprawl dynamics: does a neural network understand the spatial logic better than a cellular automata?
9. Subduing High Inflation in Romania. How to Better Monetary and Exchange Rate Mechanisms?
10. The name is absent